scholarly journals Photophysical Properties and Fluorescence Lifetime Imaging of Exfoliated Near-Infrared Fluorescent Silicate Nanosheets

2021 ◽  
Author(s):  
Gabriele Selvaggio ◽  
Milan Weitzel ◽  
Nazar Oleksiievets ◽  
Tabea Anne Oswald ◽  
Robert Nißler ◽  
...  

The layered silicates Egyptian Blue (CaCuSi4O10, EB), Han Blue (BaCuSi4O10, HB) and Han Purple (BaCuSi2O6, HP) emit as bulk material bright and stable fluorescence in the near-infrared (NIR), which is...

2019 ◽  
Vol 10 (15) ◽  
pp. 4227-4235 ◽  
Author(s):  
Yingying Ning ◽  
Shengming Cheng ◽  
Jing-Xiang Wang ◽  
Yi-Wei Liu ◽  
Wei Feng ◽  
...  

Lanthanide complex was successfully applied in the design of pH-responsive NIR τ probe for quantitative in vivo imaging.


2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Wolfgang Becker ◽  
Vladislav Shcheslavskiy

AbstractNear-infrared (NIR) dyes are used as fluorescence markers in small animal imaging and in diffuse optical tomography. In these applications it is important to know whether the dyes bind to proteins or to other tissue constituents, and whether their fluorescence lifetimes depend on the targets they bind to. Unfortunately, neither the optical beam paths nor the detectors of commonly used in confocal and multiphoton laser scanning microscopes (LSMs) directly allow for excitation and detection of NIR fluorescence. This paper presents three ways of adapting existing LSMs with time-correlated single photon counting (TCSPC) fluorescence lifetime imaging (FLIM) systems for NIR FLIM: 1) confocal systems with wideband beamsplitters and diode laser excitation, 2) confocal systems with wideband beamsplitters and one-photon excitation by titanium-sapphire lasers, and 3) two-photon systems with optical parametric oscillator (OPO) excitation and non-descanned detection. A number of NIR dyes are tested in biological tissue. All of them show clear lifetime changes depending on the tissue structures they are bound to. We therefore believe that NIR FLIM can deliver supplementary information about the tissue composition and on local biochemical parameters.


2019 ◽  
Vol 116 (48) ◽  
pp. 24019-24030 ◽  
Author(s):  
Jason T. Smith ◽  
Ruoyang Yao ◽  
Nattawut Sinsuebphon ◽  
Alena Rudkouskaya ◽  
Nathan Un ◽  
...  

Fluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies but relies on complex data-fitting techniques to derive the quantities of interest. Herein, we propose a fit-free approach in FLI image formation that is based on deep learning (DL) to quantify fluorescence decays simultaneously over a whole image and at fast speeds. We report on a deep neural network (DNN) architecture, named fluorescence lifetime imaging network (FLI-Net) that is designed and trained for different classes of experiments, including visible FLI and near-infrared (NIR) FLI microscopy (FLIM) and NIR gated macroscopy FLI (MFLI). FLI-Net outputs quantitatively the spatially resolved lifetime-based parameters that are typically employed in the field. We validate the utility of the FLI-Net framework by performing quantitative microscopic and preclinical lifetime-based studies across the visible and NIR spectra, as well as across the 2 main data acquisition technologies. These results demonstrate that FLI-Net is well suited to accurately quantify complex fluorescence lifetimes in cells and, in real time, in intact animals without any parameter settings. Hence, FLI-Net paves the way to reproducible and quantitative lifetime studies at unprecedented speeds, for improved dissemination and impact of FLI in many important biomedical applications ranging from fundamental discoveries in molecular and cellular biology to clinical translation.


2009 ◽  
Vol 11 (3) ◽  
pp. 167-177 ◽  
Author(s):  
Natalie A. Christian ◽  
Fabian Benencia ◽  
Michael C. Milone ◽  
Guizhi Li ◽  
Paul R. Frail ◽  
...  

Small ◽  
2011 ◽  
Vol 7 (18) ◽  
pp. 2614-2620 ◽  
Author(s):  
Li Shang ◽  
Naghmeh Azadfar ◽  
Florian Stockmar ◽  
Winfried Send ◽  
Vanessa Trouillet ◽  
...  

2021 ◽  
Author(s):  
Gabriele Selvaggio ◽  
Milan Weitzel ◽  
Nazar Oleksiievets ◽  
Tabea A. Oswald ◽  
Robert Nißler ◽  
...  

<div><div><div><p>The silicates Egyptian Blue (CaCuSi4O10, EB), Han Blue (BaCuSi4O10, HB) and Han Purple (BaCuSi2O6, HP) emit in bulk bright and stable fluorescence in the near-infrared (NIR), which is of high interest for (bio)photonics due to minimal scattering, absorption and phototoxicity in this spectral range. So far the optical properties of nanosheets (NS) of these silicates are poorly understood. Here, we exfoliate them into nanosheets and report their physicochemical properties. The approach uses ball milling followed by tip sonication and centrifugation steps to exfoliate the silicates into NS with a lateral size ≈ 16-27 nm and thickness ≈ 1-4 nm. They emit at ≈ 927 nm (EB-NS), 953 nm (HB-NS) and 924 nm (HP-NS) and single NS can be resolved in the NIR. Fluorescence lifetimes decrease from ≈ 30-100 μs (bulk) to 17 μs (EB- NS), 8 μs (HB-NS) and 7 μs (HP-NS). NS of different composition/size can be imaged by fluorescence lifetime imaging, which enables lifetime-encoded multicolor imaging both on the microscopic and the macroscopic scale. Finally, remote imaging through tissue phantoms reveals the potential for bioimaging. In summary, we report a procedure to gain NIR fluorescent silicate nanosheets, characterize their photophysical properties and show their potential for NIR photonics.</p></div></div></div>


RSC Advances ◽  
2016 ◽  
Vol 6 (40) ◽  
pp. 33510-33513 ◽  
Author(s):  
P. Wessig ◽  
N. Behrends ◽  
M. U. Kumke ◽  
U. Eisold ◽  
T. Meiling ◽  
...  

Synthesis and photophysical properties of coumarin–DBD FRET pairs, which are also suitable for two-photon excitation and fluorescence-lifetime imaging microscopy.


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